Rajesh Thallam's repositories
amazon-athena-user-guide
The open source version of the Amazon Athena documentation. To submit feedback & requests for changes, submit issues in this repository, or make proposed changes & submit a pull request.
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
applied-ai-engineering-samples
This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.
coursera-cleaning-dataset
This repository is created for the Coursera Project to get and clean the "Human Activity Recognition Using Smartphones" dataset. Please read
fastertransformer-converter
This repository is a code sample to serve Large Language Models (LLM) on a Google Kubernetes Engine (GKE) cluster with GPUs running NVIDIA Triton Inference Server with FasterTransformer backend.
ffhq-dataset
Flickr-Faces-HQ Dataset (FFHQ)
fulfillment-weather-python
Sample showing complex agent and fulfillment design
generative-ai
Sample code and notebooks for Generative AI on Google Cloud
kubernetes-engine-samples
Sample applications for Google Kubernetes Engine (GKE)
llama_index
LlamaIndex is a data framework for your LLM applications
mlops-with-vertex-ai-pytorch
About An end-to-end example of MLOps on Google Cloud using PyTorch, Kubeflow Pipelines SDK, and Vertex AI
spark-on-k8s-gcp-examples
Example Spark applications that run on Kubernetes and access GCP products, e.g., GCS, BigQuery, and Cloud PubSub
t5x-on-vertex-ai
This repository compiles prescriptive guidance and code samples demonstrating how to operationalize Google Research T5X framework on Google Cloud Vertex AI.
tpu-vm-on-gke
This code sample describes how to to run a Vertex AI Pipeline that launches jobs on Cloud TPU VM registered on GKE cluster.
vector-io
Use the universal VDF format for vector datasets to easily export and import data from all vector databases